Cifar-Attack

How to use

1. using train.sh or train_pgd.sh to train a model to be attacked, where train_pgd.sh refers to PGD-based adversarial training
2. using attack.sh to make adversarial samples

Note

• utils.py contains some tools to generate stronger adversarial samples
  • Gaussian Ambiguity
  • Logits Merge
• examples contains some adversarial samples generated by using this repo

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Special thanks to torchattacks